Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Graded Potential01:19

Graded Potential

3.7K
Graded potentials are localized fluctuations in the cell membrane's electrical charge, commonly found in the dendrites of neurons. The magnitude of these potential changes depends on the strength of the initiating stimulus. In a membrane at its resting potential, a graded potential signifies a voltage shift either above -70 mV or below -70 mV.
Graded potentials fall into two categories: depolarizing and hyperpolarizing. Depolarizing graded potentials typically occur when sodium (Na+) or...
3.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Aetiology-dependent short- and long-term survival after paediatric out-of-hospital cardiac arrest: a multicentre, retrospective, cohort study.

BMC emergency medicine·2026
Same author

Digital performance testing reveals how redesigned return cannulas can enhance VV-ECMO performance.

Intensive care medicine experimental·2026
Same author

Response.

Chest·2026
Same author

Management and outcomes of critically ill patients admitted to a critical care resuscitation unit: a retrospective cohort study.

Emergency medicine journal : EMJ·2026
Same author

Physiology, monitoring, and optimisation of perioperative tissue oxygenation: a narrative review.

British journal of anaesthesia·2026
Same author

The Influence of Older Age on RBC Transfusion Decisions in ICU Patients.

Critical care medicine·2026
Same journal

Granular Ball-Based Noise-Resistant Fuzzy Multineighborhood Feature Selection via Label Enhancement and Feature Graph.

IEEE transactions on neural networks and learning systems·2026
Same journal

Fighting Evolving Spam With ARTMAP Models: A Noise-Resilient Online Detection Framework.

IEEE transactions on neural networks and learning systems·2026
Same journal

HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

Negation of Basic Belief Assignment in Multisource Information Fusion on Dempster-Shafer Theory With Applications in Pattern Classification.

IEEE transactions on neural networks and learning systems·2026
Same journal

Intervention Feasible Region and Driver Risk Capacity Aware Human-Machine Collaborative Safe Trajectory Planning.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Unified Differential Denoising Learning Framework With a Pre-Trained Model and Fuzzy Graph Networks for Drug-Drug Interaction Prediction.

IEEE transactions on neural networks and learning systems·2026
查看所有相关文章

相关实验视频

Updated: Jun 9, 2025

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

6.0K

权重的赫米特可变投影网络用于分类视觉唤起的潜力.

Tamas Dozsa, Carl Bock, Jens Meier

    IEEE transactions on neural networks and learning systems
    |October 28, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一个可训练的视觉唤起潜力 (VEP) 模型,使用Hermite函数和机器学习进行客观的视觉评估. 该框架有助于诊断神经疾病,并在手术期间监测患者.

    更多相关视频

    Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
    06:37

    Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

    Published on: July 14, 2023

    816
    Simultaneous Recording of Electroretinography and Visual Evoked Potentials in Anesthetized Rats
    10:30

    Simultaneous Recording of Electroretinography and Visual Evoked Potentials in Anesthetized Rats

    Published on: July 1, 2016

    12.3K

    相关实验视频

    Last Updated: Jun 9, 2025

    Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
    09:42

    Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

    Published on: May 12, 2019

    6.0K
    Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
    06:37

    Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

    Published on: July 14, 2023

    816
    Simultaneous Recording of Electroretinography and Visual Evoked Potentials in Anesthetized Rats
    10:30

    Simultaneous Recording of Electroretinography and Visual Evoked Potentials in Anesthetized Rats

    Published on: July 1, 2016

    12.3K

    科学领域:

    • 神经科学是一个神经科学.
    • 生物医学工程 生物医学工程
    • 机器学习 机器学习

    背景情况:

    • 脑后皮层对视觉刺激的反应,视觉唤起潜力 (VEP),是一种非侵入性诊断工具.
    • VEP信号是从电脑电图 (EEG) 活动中提取出来的,无论意识或注意力如何,都能提供洞察力.
    • 目前的VEP分析可以通过结合领域知识和先进的计算方法来增强.

    研究的目的:

    • 开发一个可训练的VEP表示,以解开潜在的数据因素.
    • 集成域名知识使用参数化Hermite函数用于VEP模式变化.
    • 将VEP信号分析与机器学习融合在一起,以提高诊断和监控能力.

    主要方法:

    • 建议使用参数化Hermite函数进行可训练的VEP表示.
    • 引入了一个可微分变量投影 (VP) 层,以将Hermite基础函数扩展 (BFE) 与机器学习 (ML) 融合起来.
    • 证明了最佳参数的存在,并计算了用于反向传播训练的分析导数.

    主要成果:

    • 拟议的框架有效地捕捉了因患者特定因素,疾病和测量设置而导致的VEP变化.
    • 证明了VP层在分析VP信号中的表示能力.
    • 成功评估了框架在基于VEP的颜色分类中的有效性.

    结论:

    • 开发的学习框架为VEP分析提供了一种新的方法.
    • 该系统适用于手术内临床用例,可以在神经外科手术期间使用新的患者监测方法.
    • 这项研究通过综合信号处理和机器学习来推进客观视觉评估和神经监测.